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    High performance computing for irregular algorithms and applications with an emphasis on big data analytics 

    Green, Oded (Georgia Institute of Technology, 2014-03-31)
    Irregular algorithms such as graph algorithms, sorting, and sparse matrix multiplication, present numerous programming challenges, including scalability, load balancing, and efficient memory utilization. In this age of Big ...
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    Web-based front-end design and scientific computing for material stress simulation software 

    Lin, Tien-Ju (Georgia Institute of Technology, 2014-12-04)
    A precise simulation requires a large amount of input data such as geometrical descriptions of the crystal structure, the external forces and loads, and quantitative properties of the material. Although some powerful ...
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    Middleware for online scientific data analytics at extreme scale 

    Zheng, Fang (Georgia Institute of Technology, 2014-03-25)
    Scientific simulations running on High End Computing machines in domains like Fusion, Astrophysics, and Combustion now routinely generate terabytes of data in a single run, and these data volumes are only expected to ...

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    AuthorGreen, Oded (1)Lin, Tien-Ju (1)Zheng, Fang (1)Subject
    High performance computing (3)
    Big data (2)Algorithms (1)Dynamic data (1)Front-end design (1)Front-end development (1)Graph algorithms (1)I/O middleware (1)Middleware (1)Parallel algorithms (1)... View MoreDate Issued
    2014 (3)
    Has File(s)Yes (3)
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